Abstract:
Appreciating the importance of robust understanding of human motion and its emotional intention, this research assesses the relevance of the Laban Effort system in classi...Show MoreMetadata
Abstract:
Appreciating the importance of robust understanding of human motion and its emotional intention, this research assesses the relevance of the Laban Effort system in classifying movement quality as it applies to the design of gestural interfaces. Labeling of Laban Efforts and affect in human motion by 14 participants demonstrated that non-expert humans can recognize a subset of the Laban Efforts with a reasonable degree of inter-rater reliability - ICC(2, k)=0.78- and validity-F1-Score=0.76. This study also includes a preliminary exploration of relationships between different emotions and Laban Efforts.
Published in: 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)
Date of Conference: 23-26 October 2017
Date Added to IEEE Xplore: 01 February 2018
ISBN Information:
Electronic ISSN: 2156-8111